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The Future of Agent-Based Modeling [PDF]
Eastern Economic Journal, 2016 In this paper, I elaborate on the role of agent-based (AB) modeling for macroeconomic research. My main tenet is that the full potential of the AB approach has not been realized yet. This potential lies in the modular nature of the models, which is bought by abandoning the straitjacket of rational expectations and embracing an evolutionary perspective.
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An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Feng Gu 0006 +2 more
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Agent-based modeling and simulation in the research of environmental sustainability. A bibliography
Present Environment and Sustainable Development, 2021 In the context of the alarming news about climate changes, resource depletion, ecological disasters, and demographic trends, the interest of the researchers and the scientific literature on topics related to sustainability grew exponentially in the past ...
Ioan Susnea, Emilia Pecheanu, Adina Cocu
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Learning in Agent-based Models [PDF]
Eastern Economic Journal, 2010 In basic economic theory agents are supposed to optimize, given their constraints.This, in situations where they are anonymous, isolated and have no influence overthe constraints with which they are faced. Any intelligent student, coming toeconomics for the first time, finds this unrealistic and several intensive courses,particularly in micro-economics,
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Features of Agent-based Models [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 In Proceedings GaM 2017, arXiv:1712 ...
Reiko Heckel +2 more
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Towards Agent-Based Model Specification of Smart Grid: A Cognitive Agent-Based Computing Approach [PDF]
Interdisciplinary Description of Complex Systems, 2019 A smart grid can be considered as a complex network where each node represents a generation unit or a consumer, whereas links can be used to represent transmission lines. One way to study complex systems is by using the agent-based modeling paradigm. The
Waseem Akram +3 more
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Overview of Software Agent Platforms Available in 2023
Information, 2023 Agent-based computing remains an active field of research with the goal of building (semi-)autonomous software for dynamic ecosystems. Today, this task should be realized using dedicated, specialized frameworks.
Zofia Wrona +6 more
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Agent-Based Pedestrian Modeling [PDF]
Environment and Planning B: Planning and Design, 2001 When the focus of interest in geographical systems is at the very fine scale, at the level of streets and buildings for example, movement becomes central to simulations of how spatial activities are used and develop. Recent advances in computing power and the acquisition of fine scale digital data now mean that we are able to attempt to understand ...
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Complexity Science and Cyber Operations: A Literature Survey
Complex System Modeling and Simulation, 2023 Complexity science is an interdisciplinary scientific field that analyzes systems as holistic entities consisting of characteristics beyond the sum of a system’s individual elements.
Briant Becote, Bhaskar Prasad Rimal
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On Agent-Based Software Engineering [PDF]
, 1999 Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly improve the theory and the practice of modeling, designing, and implementing ...
Jennings, N. R. +3 more
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